Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	43818
Missing cells	21915
Missing cells (%)	2.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.4 MiB
Average record size in memory	176.0 B

Variable types

Categorical	5
Text	9
Numeric	8

Alerts

`Monthly_Inhand_Salary` has 6548 (14.9%) missing values	Missing
`Type_of_Loan` has 4946 (11.3%) missing values	Missing
`Num_of_Delayed_Payment` has 3085 (7.0%) missing values	Missing
`Num_Credit_Inquiries` has 840 (1.9%) missing values	Missing
`Credit_History_Age` has 3986 (9.1%) missing values	Missing
`Amount_invested_monthly` has 1940 (4.4%) missing values	Missing
`Monthly_Balance` has 563 (1.3%) missing values	Missing
`Num_Bank_Accounts` has 2005 (4.6%) zeros	Zeros
`Delay_from_due_date` has 545 (1.2%) zeros	Zeros
`Num_Credit_Inquiries` has 3021 (6.9%) zeros	Zeros
`Total_EMI_per_month` has 4603 (10.5%) zeros	Zeros

Reproduction

Analysis started	2024-08-13 10:18:34.167539
Analysis finished	2024-08-13 10:19:08.738354
Duration	34.57 seconds
Software version	ydata-profiling vv4.9.0
Download configuration	config.json

Occupation
Categorical

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	342.5 KiB

_______	3033
Architect	2888
Lawyer	2835
Mechanic	2808
Scientist	2805
Other values (11)	29449

Length

Max length	13
Median length	10
Mean length	8.4188461
Min length	6

Characters and Unicode

Total characters	368897
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Scientist
2nd row	Scientist
3rd row	Scientist
4th row	Scientist
5th row	Scientist

Common Values

Value	Count	Frequency (%)
_______	3033	6.9%
Architect	2888	6.6%
Lawyer	2835	6.5%
Mechanic	2808	6.4%
Scientist	2805	6.4%
Teacher	2795	6.4%
Media_Manager	2746	6.3%
Developer	2719	6.2%
Entrepreneur	2706	6.2%
Doctor	2701	6.2%
Other values (6)	15782	36.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	3033	6.9%
architect	2888	6.6%
lawyer	2835	6.5%
mechanic	2808	6.4%
scientist	2805	6.4%
teacher	2795	6.4%
media_manager	2746	6.3%
developer	2719	6.2%
entrepreneur	2706	6.2%
doctor	2701	6.2%
Other values (6)	15782	36.0%

Most occurring characters

Value	Count	Frequency (%)
e	49395	13.4%
r	38128	10.3%
n	32062	8.7%
a	29713	8.1%
i	27366	7.4%
c	27309	7.4%
t	27086	7.3%
_	23977	6.5%
M	13575	3.7%
o	13254	3.6%
Other values (18)	87032	23.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	368897	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	49395	13.4%
r	38128	10.3%
n	32062	8.7%
a	29713	8.1%
i	27366	7.4%
c	27309	7.4%
t	27086	7.3%
_	23977	6.5%
M	13575	3.7%
o	13254	3.6%
Other values (18)	87032	23.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	368897	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	49395	13.4%
r	38128	10.3%
n	32062	8.7%
a	29713	8.1%
i	27366	7.4%
c	27309	7.4%
t	27086	7.3%
_	23977	6.5%
M	13575	3.7%
o	13254	3.6%
Other values (18)	87032	23.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	368897	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	49395	13.4%
r	38128	10.3%
n	32062	8.7%
a	29713	8.1%
i	27366	7.4%
c	27309	7.4%
t	27086	7.3%
_	23977	6.5%
M	13575	3.7%
o	13254	3.6%
Other values (18)	87032	23.6%

Annual_Income
Text

Distinct	8248
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	342.5 KiB

Length

Max length	19
Median length	8
Mean length	8.2952896
Min length	6

Characters and Unicode

Total characters	363483
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2231 ?
Unique (%)	5.1%

Sample

1st row	19114.12
2nd row	19114.12
3rd row	19114.12
4th row	19114.12
5th row	19114.12

Value	Count	Frequency (%)
109945.32	16	< 0.1%
40341.16	16	< 0.1%
38635.95	8	< 0.1%
116336.32	8	< 0.1%
62168.04	8	< 0.1%
28169.07	8	< 0.1%
67583.2	8	< 0.1%
170751.96	8	< 0.1%
62223.06	8	< 0.1%
15982.36	8	< 0.1%
Other values (5890)	43722	99.8%

Most occurring characters

Value	Count	Frequency (%)
.	43818	12.1%
1	40845	11.2%
2	33479	9.2%
4	31891	8.8%
8	31392	8.6%
5	31028	8.5%
3	30979	8.5%
6	30779	8.5%
9	29919	8.2%
0	28739	7.9%
Other values (2)	30614	8.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	363483	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	43818	12.1%
1	40845	11.2%
2	33479	9.2%
4	31891	8.8%
8	31392	8.6%
5	31028	8.5%
3	30979	8.5%
6	30779	8.5%
9	29919	8.2%
0	28739	7.9%
Other values (2)	30614	8.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	363483	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	43818	12.1%
1	40845	11.2%
2	33479	9.2%
4	31891	8.8%
8	31392	8.6%
5	31028	8.5%
3	30979	8.5%
6	30779	8.5%
9	29919	8.2%
0	28739	7.9%
Other values (2)	30614	8.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	363483	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	43818	12.1%
1	40845	11.2%
2	33479	9.2%
4	31891	8.8%
8	31392	8.6%
5	31028	8.5%
3	30979	8.5%
6	30779	8.5%
9	29919	8.2%
0	28739	7.9%
Other values (2)	30614	8.4%

Monthly_Inhand_Salary
Real number (ℝ)

MISSING

Distinct	5792
Distinct (%)	15.5%
Missing	6548
Missing (%)	14.9%
Infinite	0
Infinite (%)	0.0%
Mean	4215.7387

Minimum	319.55625
Maximum	15136.697
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	319.55625
5-th percentile	840.62458
Q1	1637.925
median	3091
Q3	5989.7317
95-th percentile	10899.153
Maximum	15136.697
Range	14817.14
Interquartile range (IQR)	4351.8067

Descriptive statistics

Standard deviation	3209.5493
Coefficient of variation (CV)	0.76132548
Kurtosis	0.6443932
Mean	4215.7387
Median Absolute Deviation (MAD)	1749.0117
Skewness	1.1382554
Sum	1.5712058 × 10⁸
Variance	10301207
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6082.1875	15	< 0.1%
3080.555	14	< 0.1%
4387.2725	13	< 0.1%
1720.684167	8	< 0.1%
2035.149167	8	< 0.1%
4751.89	8	< 0.1%
1033.626667	8	< 0.1%
8299.705	8	< 0.1%
13599	8	< 0.1%
958.8625	8	< 0.1%
Other values (5782)	37172	84.8%
(Missing)	6548	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
319.55625	7	< 0.1%
332.1283333	7	< 0.1%
333.5966667	6	< 0.1%
355.2083333	8	< 0.1%
357.2558333	7	< 0.1%
361.6033333	6	< 0.1%
368.3741667	7	< 0.1%
379.3908333	6	< 0.1%
380.6491667	6	< 0.1%
391.0533333	8	< 0.1%

Value	Count	Frequency (%)
15136.69667	7	< 0.1%
14978.33667	7	< 0.1%
14958.33667	3	< 0.1%
14866.44667	8	< 0.1%
14862.28333	5	< 0.1%
14855.93	6	< 0.1%
14839.7	6	< 0.1%
14836.73667	6	< 0.1%
14828.98333	8	< 0.1%
14816.94	8	< 0.1%

Num_Bank_Accounts
Real number (ℝ)

ZEROS

Distinct	490
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.882628

Minimum	-1
Maximum	1798
Zeros	2005
Zeros (%)	4.6%
Negative	13
Negative (%)	< 0.1%
Memory size	342.5 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	10
Maximum	1798
Range	1799
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	116.96931
Coefficient of variation (CV)	6.9283827
Kurtosis	135.90916
Mean	16.882628
Median Absolute Deviation (MAD)	2
Skewness	11.339162
Sum	739763
Variance	13681.819
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	5743	13.1%
8	5734	13.1%
7	5609	12.8%
5	5213	11.9%
3	5208	11.9%
4	5082	11.6%
9	2391	5.5%
10	2211	5.0%
1	2097	4.8%
0	2005	4.6%
Other values (480)	2525	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	13	< 0.1%
0	2005	4.6%
1	2097	4.8%
2	1955	4.5%
3	5208	11.9%
4	5082	11.6%
5	5213	11.9%
6	5743	13.1%
7	5609	12.8%
8	5734	13.1%

Value	Count	Frequency (%)
1798	1	< 0.1%
1794	1	< 0.1%
1793	1	< 0.1%
1789	1	< 0.1%
1784	1	< 0.1%
1783	1	< 0.1%
1779	2	< 0.1%
1777	1	< 0.1%
1771	1	< 0.1%
1769	1	< 0.1%

Num_Credit_Card
Real number (ℝ)

Distinct	746
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.201059

Minimum	0
Maximum	1499
Zeros	13
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	6
Q3	7
95-th percentile	10
Maximum	1499
Range	1499
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	132.31365
Coefficient of variation (CV)	5.7029143
Kurtosis	70.972233
Mean	23.201059
Median Absolute Deviation (MAD)	1
Skewness	8.2707188
Sum	1016624
Variance	17506.902
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	7944	18.1%
7	7654	17.5%
6	7263	16.6%
4	5880	13.4%
3	5819	13.3%
8	2204	5.0%
9	2114	4.8%
10	1952	4.5%
2	1014	2.3%
1	937	2.1%
Other values (736)	1037	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	< 0.1%
1	937	2.1%
2	1014	2.3%
3	5819	13.3%
4	5880	13.4%
5	7944	18.1%
6	7263	16.6%
7	7654	17.5%
8	2204	5.0%
9	2114	4.8%

Value	Count	Frequency (%)
1499	1	< 0.1%
1498	1	< 0.1%
1497	2	< 0.1%
1494	1	< 0.1%
1493	1	< 0.1%
1486	1	< 0.1%
1485	1	< 0.1%
1480	2	< 0.1%
1479	2	< 0.1%
1477	1	< 0.1%

Interest_Rate
Real number (ℝ)

Distinct	861
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.922178

Minimum	1
Maximum	5788
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	13
Q3	20
95-th percentile	33
Maximum	5788
Range	5787
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	459.98063
Coefficient of variation (CV)	6.4857093
Kurtosis	87.957873
Mean	70.922178
Median Absolute Deviation (MAD)	6
Skewness	9.1484617
Sum	3107668
Variance	211582.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	2267	5.2%
5	2160	4.9%
6	2048	4.7%
12	2042	4.7%
11	1988	4.5%
7	1974	4.5%
9	1913	4.4%
10	1884	4.3%
18	1759	4.0%
15	1689	3.9%
Other values (851)	24094	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1182	2.7%
2	1129	2.6%
3	1231	2.8%
4	1228	2.8%
5	2160	4.9%
6	2048	4.7%
7	1974	4.5%
8	2267	5.2%
9	1913	4.4%
10	1884	4.3%

Value	Count	Frequency (%)
5788	1	< 0.1%
5773	1	< 0.1%
5763	1	< 0.1%
5762	1	< 0.1%
5756	1	< 0.1%
5747	1	< 0.1%
5745	1	< 0.1%
5743	1	< 0.1%
5739	1	< 0.1%
5722	1	< 0.1%

Num_of_Loan
Text

Distinct	220
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	342.5 KiB

Length

Max length	5
Median length	1
Mean length	1.1719841
Min length	1

Characters and Unicode

Total characters	51354
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	190 ?
Unique (%)	0.4%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Value	Count	Frequency (%)
2	6915	15.8%
4	6669	15.2%
3	6631	15.1%
0	4744	10.8%
1	4215	9.6%
6	3501	8.0%
7	3219	7.3%
5	3044	6.9%
100	1649	3.8%
9	1624	3.7%
Other values (198)	1607	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	8090	15.8%
2	6977	13.6%
4	6756	13.2%
3	6711	13.1%
1	6012	11.7%
6	3550	6.9%
7	3259	6.3%
5	3102	6.0%
_	2119	4.1%
9	1681	3.3%
Other values (2)	3097	6.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	51354	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8090	15.8%
2	6977	13.6%
4	6756	13.2%
3	6711	13.1%
1	6012	11.7%
6	3550	6.9%
7	3259	6.3%
5	3102	6.0%
_	2119	4.1%
9	1681	3.3%
Other values (2)	3097	6.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	51354	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8090	15.8%
2	6977	13.6%
4	6756	13.2%
3	6711	13.1%
1	6012	11.7%
6	3550	6.9%
7	3259	6.3%
5	3102	6.0%
_	2119	4.1%
9	1681	3.3%
Other values (2)	3097	6.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	51354	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8090	15.8%
2	6977	13.6%
4	6756	13.2%
3	6711	13.1%
1	6012	11.7%
6	3550	6.9%
7	3259	6.3%
5	3102	6.0%
_	2119	4.1%
9	1681	3.3%
Other values (2)	3097	6.0%

Type_of_Loan
Text

MISSING

Distinct	3099
Distinct (%)	8.0%
Missing	4946
Missing (%)	11.3%
Memory size	342.5 KiB

Length

Max length	178
Median length	138
Mean length	66.981889
Min length	9

Characters and Unicode

Total characters	2603720
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
2nd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
3rd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
4th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
5th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan

Value	Count	Frequency (%)
loan	138472	36.5%
and	34440	9.1%
payday	18304	4.8%
credit-builder	17984	4.7%
student	17424	4.6%
personal	17248	4.5%
not	17224	4.5%
specified	17224	4.5%
mortgage	17056	4.5%
debt	17024	4.5%
Other values (4)	67296	17.7%

Most occurring characters

Value	Count	Frequency (%)
	340824	13.1%
o	274504	10.5%
a	260848	10.0%
n	241632	9.3%
e	156008	6.0%
t	154592	5.9%
d	140384	5.4%
L	138472	5.3%
i	121304	4.7%
,	116824	4.5%
Other values (23)	658328	25.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2603720	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	340824	13.1%
o	274504	10.5%
a	260848	10.0%
n	241632	9.3%
e	156008	6.0%
t	154592	5.9%
d	140384	5.4%
L	138472	5.3%
i	121304	4.7%
,	116824	4.5%
Other values (23)	658328	25.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2603720	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	340824	13.1%
o	274504	10.5%
a	260848	10.0%
n	241632	9.3%
e	156008	6.0%
t	154592	5.9%
d	140384	5.4%
L	138472	5.3%
i	121304	4.7%
,	116824	4.5%
Other values (23)	658328	25.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2603720	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	340824	13.1%
o	274504	10.5%
a	260848	10.0%
n	241632	9.3%
e	156008	6.0%
t	154592	5.9%
d	140384	5.4%
L	138472	5.3%
i	121304	4.7%
,	116824	4.5%
Other values (23)	658328	25.3%

Delay_from_due_date
Real number (ℝ)

ZEROS

Distinct	73
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.13814

Minimum	-5
Maximum	67
Zeros	545
Zeros (%)	1.2%
Negative	253
Negative (%)	0.6%
Memory size	342.5 KiB

Quantile statistics

Minimum	-5
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	72
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.908357
Coefficient of variation (CV)	0.70528234
Kurtosis	0.32419292
Mean	21.13814
Median Absolute Deviation (MAD)	9
Skewness	0.95933265
Sum	926231
Variance	222.2591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	1493	3.4%
15	1488	3.4%
14	1477	3.4%
12	1465	3.3%
10	1427	3.3%
8	1421	3.2%
5	1383	3.2%
11	1379	3.1%
9	1369	3.1%
6	1347	3.1%
Other values (63)	29569	67.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5	15	< 0.1%
-4	22	0.1%
-3	52	0.1%
-2	73	0.2%
-1	91	0.2%
0	545	1.2%
1	577	1.3%
2	612	1.4%
3	752	1.7%
4	733	1.7%

Value	Count	Frequency (%)
67	11	< 0.1%
66	16	< 0.1%
65	24	0.1%
64	30	0.1%
63	32	0.1%
62	233	0.5%
61	240	0.5%
60	210	0.5%
59	223	0.5%
58	212	0.5%

Num_of_Delayed_Payment
Text

MISSING

Distinct	350
Distinct (%)	0.9%
Missing	3085
Missing (%)	7.0%
Memory size	342.5 KiB

Length

Max length	5
Median length	2
Mean length	1.7652272
Min length	1

Characters and Unicode

Total characters	71903
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	275 ?
Unique (%)	0.7%

Sample

1st row	7
2nd row	7
3rd row	4
4th row	4
5th row	8_

Value	Count	Frequency (%)
19	2467	6.1%
17	2413	5.9%
16	2349	5.8%
15	2291	5.6%
18	2288	5.6%
20	2284	5.6%
8	2146	5.3%
12	2141	5.3%
9	2132	5.2%
10	2124	5.2%
Other values (305)	18098	44.4%

Most occurring characters

Value	Count	Frequency (%)
1	26030	36.2%
2	11395	15.8%
0	5217	7.3%
9	4685	6.5%
8	4588	6.4%
5	3974	5.5%
3	3845	5.3%
7	3634	5.1%
6	3562	5.0%
4	3486	4.8%
Other values (2)	1487	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	71903	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	26030	36.2%
2	11395	15.8%
0	5217	7.3%
9	4685	6.5%
8	4588	6.4%
5	3974	5.5%
3	3845	5.3%
7	3634	5.1%
6	3562	5.0%
4	3486	4.8%
Other values (2)	1487	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	71903	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	26030	36.2%
2	11395	15.8%
0	5217	7.3%
9	4685	6.5%
8	4588	6.4%
5	3974	5.5%
3	3845	5.3%
7	3634	5.1%
6	3562	5.0%
4	3486	4.8%
Other values (2)	1487	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	71903	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	26030	36.2%
2	11395	15.8%
0	5217	7.3%
9	4685	6.5%
8	4588	6.4%
5	3974	5.5%
3	3845	5.3%
7	3634	5.1%
6	3562	5.0%
4	3486	4.8%
Other values (2)	1487	2.1%

Changed_Credit_Limit
Text

Distinct	3698
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	342.5 KiB

Length

Max length	21
Median length	20
Mean length	4.7201607
Min length	1

Characters and Unicode

Total characters	206828
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	843 ?
Unique (%)	1.9%

Sample

1st row	11.27
2nd row	11.27
3rd row	_
4th row	6.27
5th row	11.27

Value	Count	Frequency (%)
	898	2.0%
11.32	76	0.2%
11.73	75	0.2%
7.01	68	0.2%
10.54	67	0.2%
9.39	67	0.2%
9.5	62	0.1%
7.33	61	0.1%
9.13	61	0.1%
4.53	60	0.1%
Other values (3297)	42323	96.6%

Most occurring characters

Value	Count	Frequency (%)
.	42919	20.8%
1	29775	14.4%
9	20769	10.0%
0	17934	8.7%
2	15855	7.7%
7	13315	6.4%
8	13313	6.4%
5	13310	6.4%
6	12979	6.3%
3	12891	6.2%
Other values (3)	13768	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	206828	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	42919	20.8%
1	29775	14.4%
9	20769	10.0%
0	17934	8.7%
2	15855	7.7%
7	13315	6.4%
8	13313	6.4%
5	13310	6.4%
6	12979	6.3%
3	12891	6.2%
Other values (3)	13768	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	206828	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	42919	20.8%
1	29775	14.4%
9	20769	10.0%
0	17934	8.7%
2	15855	7.7%
7	13315	6.4%
8	13313	6.4%
5	13310	6.4%
6	12979	6.3%
3	12891	6.2%
Other values (3)	13768	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	206828	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	42919	20.8%
1	29775	14.4%
9	20769	10.0%
0	17934	8.7%
2	15855	7.7%
7	13315	6.4%
8	13313	6.4%
5	13310	6.4%
6	12979	6.3%
3	12891	6.2%
Other values (3)	13768	6.7%

Num_Credit_Inquiries
Real number (ℝ)

MISSING ZEROS

Distinct	629
Distinct (%)	1.5%
Missing	840
Missing (%)	1.9%
Infinite	0
Infinite (%)	0.0%
Mean	26.448718

Minimum	0
Maximum	2597
Zeros	3021
Zeros (%)	6.9%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	9
95-th percentile	13
Maximum	2597
Range	2597
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	184.53258
Coefficient of variation (CV)	6.9769953
Kurtosis	105.02193
Mean	26.448718
Median Absolute Deviation (MAD)	3
Skewness	9.9774858
Sum	1136713
Variance	34052.273
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	5019	11.5%
3	3717	8.5%
2	3716	8.5%
6	3555	8.1%
8	3367	7.7%
7	3332	7.6%
1	3303	7.5%
0	3021	6.9%
5	2612	6.0%
9	2346	5.4%
Other values (619)	8990	20.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3021	6.9%
1	3303	7.5%
2	3716	8.5%
3	3717	8.5%
4	5019	11.5%
5	2612	6.0%
6	3555	8.1%
7	3332	7.6%
8	3367	7.7%
9	2346	5.4%

Value	Count	Frequency (%)
2597	1	< 0.1%
2594	1	< 0.1%
2592	1	< 0.1%
2588	1	< 0.1%
2587	1	< 0.1%
2580	1	< 0.1%
2573	1	< 0.1%
2572	1	< 0.1%
2568	1	< 0.1%
2564	1	< 0.1%

Credit_Mix
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	342.5 KiB

Standard	15610
Good	10881
_	8907
Bad	8419

Length

Max length	8
Median length	4
Mean length	4.6230458
Min length	1

Characters and Unicode

Total characters	202568
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	_
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	15610	35.6%
Good	10881	24.8%
_	8907	20.3%
Bad	8419	19.2%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	15610	35.6%
good	10881	24.8%
	8907	20.3%
bad	8419	19.2%

Most occurring characters

Value	Count	Frequency (%)
d	50520	24.9%
a	39639	19.6%
o	21762	10.7%
S	15610	7.7%
t	15610	7.7%
n	15610	7.7%
r	15610	7.7%
G	10881	5.4%
_	8907	4.4%
B	8419	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	202568	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	50520	24.9%
a	39639	19.6%
o	21762	10.7%
S	15610	7.7%
t	15610	7.7%
n	15610	7.7%
r	15610	7.7%
G	10881	5.4%
_	8907	4.4%
B	8419	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	202568	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	50520	24.9%
a	39639	19.6%
o	21762	10.7%
S	15610	7.7%
t	15610	7.7%
n	15610	7.7%
r	15610	7.7%
G	10881	5.4%
_	8907	4.4%
B	8419	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	202568	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	50520	24.9%
a	39639	19.6%
o	21762	10.7%
S	15610	7.7%
t	15610	7.7%
n	15610	7.7%
r	15610	7.7%
G	10881	5.4%
_	8907	4.4%
B	8419	4.2%

Outstanding_Debt
Text

Distinct	5837
Distinct (%)	13.3%
Missing	1
Missing (%)	< 0.1%
Memory size	342.5 KiB

Length

Max length	8
Median length	7
Mean length	6.4258165
Min length	3

Characters and Unicode

Total characters	281560
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	417 ?
Unique (%)	1.0%

Sample

1st row	809.98
2nd row	809.98
3rd row	809.98
4th row	809.98
5th row	809.98

Value	Count	Frequency (%)
143.04	16	< 0.1%
585.77	16	< 0.1%
1464.16	16	< 0.1%
177.03	16	< 0.1%
298.5	16	< 0.1%
729.74	16	< 0.1%
352.44	16	< 0.1%
573.77	16	< 0.1%
849.98	16	< 0.1%
2538.81	16	< 0.1%
Other values (5399)	43657	99.6%

Most occurring characters

Value	Count	Frequency (%)
.	43817	15.6%
1	36505	13.0%
2	27553	9.8%
4	25889	9.2%
3	25522	9.1%
5	21552	7.7%
6	21280	7.6%
7	21217	7.5%
9	20936	7.4%
8	20816	7.4%
Other values (2)	16473	5.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	281560	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	43817	15.6%
1	36505	13.0%
2	27553	9.8%
4	25889	9.2%
3	25522	9.1%
5	21552	7.7%
6	21280	7.6%
7	21217	7.5%
9	20936	7.4%
8	20816	7.4%
Other values (2)	16473	5.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	281560	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	43817	15.6%
1	36505	13.0%
2	27553	9.8%
4	25889	9.2%
3	25522	9.1%
5	21552	7.7%
6	21280	7.6%
7	21217	7.5%
9	20936	7.4%
8	20816	7.4%
Other values (2)	16473	5.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	281560	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	43817	15.6%
1	36505	13.0%
2	27553	9.8%
4	25889	9.2%
3	25522	9.1%
5	21552	7.7%
6	21280	7.6%
7	21217	7.5%
9	20936	7.4%
8	20816	7.4%
Other values (2)	16473	5.9%

Credit_Utilization_Ratio
Real number (ℝ)

Distinct	43817
Distinct (%)	100.0%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	32.311347

Minimum	20
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	20
5-th percentile	24.250152
Q1	28.06487
median	32.328808
Q3	36.54394
95-th percentile	40.253935
Maximum	50
Range	30
Interquartile range (IQR)	8.4790701

Descriptive statistics

Standard deviation	5.1281804
Coefficient of variation (CV)	0.15871144
Kurtosis	-0.9479879
Mean	32.311347
Median Absolute Deviation (MAD)	4.2395091
Skewness	0.030353284
Sum	1415786.3
Variance	26.298234
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.82261962	1	< 0.1%
27.37715366	1	< 0.1%
34.34149209	1	< 0.1%
35.5973986	1	< 0.1%
28.9324999	1	< 0.1%
40.7471509	1	< 0.1%
29.81840602	1	< 0.1%
24.05834783	1	< 0.1%
37.34687182	1	< 0.1%
37.94858471	1	< 0.1%
Other values (43807)	43807	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1	< 0.1%
20.1729419	1	< 0.1%
20.24413035	1	< 0.1%
20.71974515	1	< 0.1%
20.98560579	1	< 0.1%
20.98591888	1	< 0.1%
20.992914	1	< 0.1%
21.02766451	1	< 0.1%
21.0567212	1	< 0.1%
21.22850297	1	< 0.1%

Value	Count	Frequency (%)
50	1	< 0.1%
49.5223243	1	< 0.1%
48.24700252	1	< 0.1%
47.96956024	1	< 0.1%
47.92766496	1	< 0.1%
47.64242451	1	< 0.1%
47.61224433	1	< 0.1%
47.5559826	1	< 0.1%
47.5370307	1	< 0.1%
47.29400692	1	< 0.1%

Credit_History_Age
Text

MISSING

Distinct	404
Distinct (%)	1.0%
Missing	3986
Missing (%)	9.1%
Memory size	342.5 KiB

Length

Max length	22
Median length	21
Mean length	20.992569
Min length	20

Characters and Unicode

Total characters	836176
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	22 Years and 1 Months
2nd row	22 Years and 3 Months
3rd row	22 Years and 4 Months
4th row	22 Years and 5 Months
5th row	22 Years and 6 Months

Value	Count	Frequency (%)
and	39832	20.0%
months	39832	20.0%
years	39832	20.0%
11	4777	2.4%
9	4702	2.4%
8	4681	2.4%
10	4668	2.3%
5	4260	2.1%
6	4194	2.1%
7	4077	2.0%
Other values (27)	48305	24.3%

Most occurring characters

Value	Count	Frequency (%)
	159328	19.1%
a	79664	9.5%
s	79664	9.5%
n	79664	9.5%
M	39832	4.8%
o	39832	4.8%
Y	39832	4.8%
e	39832	4.8%
r	39832	4.8%
d	39832	4.8%
Other values (12)	198864	23.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	836176	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	159328	19.1%
a	79664	9.5%
s	79664	9.5%
n	79664	9.5%
M	39832	4.8%
o	39832	4.8%
Y	39832	4.8%
e	39832	4.8%
r	39832	4.8%
d	39832	4.8%
Other values (12)	198864	23.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	836176	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	159328	19.1%
a	79664	9.5%
s	79664	9.5%
n	79664	9.5%
M	39832	4.8%
o	39832	4.8%
Y	39832	4.8%
e	39832	4.8%
r	39832	4.8%
d	39832	4.8%
Other values (12)	198864	23.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	836176	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	159328	19.1%
a	79664	9.5%
s	79664	9.5%
n	79664	9.5%
M	39832	4.8%
o	39832	4.8%
Y	39832	4.8%
e	39832	4.8%
r	39832	4.8%
d	39832	4.8%
Other values (12)	198864	23.8%

Payment_of_Min_Amount
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	342.5 KiB

Yes	22964
No	15591
NM	5262

Length

Max length	3
Median length	3
Mean length	2.5240888
Min length	2

Characters and Unicode

Total characters	110598
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	22964	52.4%
No	15591	35.6%
NM	5262	12.0%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	22964	52.4%
no	15591	35.6%
nm	5262	12.0%

Most occurring characters

Value	Count	Frequency (%)
Y	22964	20.8%
e	22964	20.8%
s	22964	20.8%
N	20853	18.9%
o	15591	14.1%
M	5262	4.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	110598	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
Y	22964	20.8%
e	22964	20.8%
s	22964	20.8%
N	20853	18.9%
o	15591	14.1%
M	5262	4.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	110598	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
Y	22964	20.8%
e	22964	20.8%
s	22964	20.8%
N	20853	18.9%
o	15591	14.1%
M	5262	4.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	110598	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
Y	22964	20.8%
e	22964	20.8%
s	22964	20.8%
N	20853	18.9%
o	15591	14.1%
M	5262	4.8%

Total_EMI_per_month
Real number (ℝ)

ZEROS

Distinct	6548
Distinct (%)	14.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1388.3316

Minimum	0
Maximum	82256
Zeros	4603
Zeros (%)	10.5%
Negative	0
Negative (%)	0.0%
Memory size	342.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	30.907553
median	69.692591
Q3	162.34322
95-th percentile	445.55592
Maximum	82256
Range	82256
Interquartile range (IQR)	131.43567

Descriptive statistics

Standard deviation	8281.3157
Coefficient of variation (CV)	5.9649406
Kurtosis	53.556702
Mean	1388.3316
Median Absolute Deviation (MAD)	49.983938
Skewness	7.1888797
Sum	60832527
Variance	68580190
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4603	10.5%
49.57494921	8	< 0.1%
67.30924983	8	< 0.1%
19.79281109	8	< 0.1%
56.52993708	8	< 0.1%
124.9486672	8	< 0.1%
13.79706265	8	< 0.1%
16.78352528	8	< 0.1%
38.45595247	8	< 0.1%
144.6297138	8	< 0.1%
Other values (6538)	39142	89.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4603	10.5%
4.462837467	8	< 0.1%
4.865689677	8	< 0.1%
4.916138542	8	< 0.1%
5.138484696	8	< 0.1%
5.218466359	8	< 0.1%
5.463308978	7	< 0.1%
5.629824417	8	< 0.1%
5.711416879	8	< 0.1%
5.905518076	8	< 0.1%

Value	Count	Frequency (%)
82256	1	< 0.1%
82236	1	< 0.1%
82204	1	< 0.1%
82178	1	< 0.1%
81902	1	< 0.1%
81730	1	< 0.1%
81578	1	< 0.1%
81553	1	< 0.1%
81441	1	< 0.1%
81301	1	< 0.1%

Amount_invested_monthly
Text

MISSING

Distinct	39960
Distinct (%)	95.4%
Missing	1940
Missing (%)	4.4%
Memory size	342.5 KiB

Length

Max length	18
Median length	17
Mean length	16.973924
Min length	3

Characters and Unicode

Total characters	710834
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39958 ?
Unique (%)	95.4%

Sample

1st row	80.41529543900253
2nd row	118.28022162236736
3rd row	81.699521264648
4th row	199.4580743910713
5th row	41.420153086217326

Value	Count	Frequency (%)
10000	1846	4.4%
0.0	74	0.2%
118.28022162236736	1	< 0.1%
24.785216509052056	1	< 0.1%
825.2162699393922	1	< 0.1%
232.86038375993544	1	< 0.1%
81.699521264648	1	< 0.1%
199.4580743910713	1	< 0.1%
41.420153086217326	1	< 0.1%
62.430172331195294	1	< 0.1%
Other values (39950)	39950	95.4%

Most occurring characters

Value	Count	Frequency (%)
1	75982	10.7%
2	69101	9.7%
4	66147	9.3%
3	66127	9.3%
0	65886	9.3%
5	65823	9.3%
6	65259	9.2%
8	63966	9.0%
7	63627	9.0%
9	61500	8.7%
Other values (2)	47416	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	710834	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	75982	10.7%
2	69101	9.7%
4	66147	9.3%
3	66127	9.3%
0	65886	9.3%
5	65823	9.3%
6	65259	9.2%
8	63966	9.0%
7	63627	9.0%
9	61500	8.7%
Other values (2)	47416	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	710834	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	75982	10.7%
2	69101	9.7%
4	66147	9.3%
3	66127	9.3%
0	65886	9.3%
5	65823	9.3%
6	65259	9.2%
8	63966	9.0%
7	63627	9.0%
9	61500	8.7%
Other values (2)	47416	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	710834	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	75982	10.7%
2	69101	9.7%
4	66147	9.3%
3	66127	9.3%
0	65886	9.3%
5	65823	9.3%
6	65259	9.2%
8	63966	9.0%
7	63627	9.0%
9	61500	8.7%
Other values (2)	47416	6.7%

Payment_Behaviour
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	342.5 KiB

Low_spent_Small_value_payments	11217
High_spent_Medium_value_payments	7707
Low_spent_Medium_value_payments	6091
High_spent_Large_value_payments	5903
High_spent_Small_value_payments	5038
Other values (2)	7861

Length

Max length	32
Median length	31
Mean length	28.920921
Min length	6

Characters and Unicode

Total characters	1267228
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High_spent_Small_value_payments
2nd row	Low_spent_Large_value_payments
3rd row	Low_spent_Medium_value_payments
4th row	Low_spent_Small_value_payments
5th row	High_spent_Medium_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	11217	25.6%
High_spent_Medium_value_payments	7707	17.6%
Low_spent_Medium_value_payments	6091	13.9%
High_spent_Large_value_payments	5903	13.5%
High_spent_Small_value_payments	5038	11.5%
Low_spent_Large_value_payments	4539	10.4%
!@9#%8	3322	7.6%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low_spent_small_value_payments	11217	25.6%
high_spent_medium_value_payments	7707	17.6%
low_spent_medium_value_payments	6091	13.9%
high_spent_large_value_payments	5903	13.5%
high_spent_small_value_payments	5038	11.5%
low_spent_large_value_payments	4539	10.4%
9#%8	3322	7.6%

Most occurring characters

Value	Count	Frequency (%)
_	161980	12.8%
e	145725	11.5%
a	107687	8.5%
s	80990	6.4%
p	80990	6.4%
n	80990	6.4%
t	80990	6.4%
l	73005	5.8%
m	70548	5.6%
u	54293	4.3%
Other values (19)	330030	26.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1267228	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
_	161980	12.8%
e	145725	11.5%
a	107687	8.5%
s	80990	6.4%
p	80990	6.4%
n	80990	6.4%
t	80990	6.4%
l	73005	5.8%
m	70548	5.6%
u	54293	4.3%
Other values (19)	330030	26.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1267228	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
_	161980	12.8%
e	145725	11.5%
a	107687	8.5%
s	80990	6.4%
p	80990	6.4%
n	80990	6.4%
t	80990	6.4%
l	73005	5.8%
m	70548	5.6%
u	54293	4.3%
Other values (19)	330030	26.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1267228	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
_	161980	12.8%
e	145725	11.5%
a	107687	8.5%
s	80990	6.4%
p	80990	6.4%
n	80990	6.4%
t	80990	6.4%
l	73005	5.8%
m	70548	5.6%
u	54293	4.3%
Other values (19)	330030	26.0%

Monthly_Balance
Text

MISSING

Distinct	43251
Distinct (%)	> 99.9%
Missing	563
Missing (%)	1.3%
Memory size	342.5 KiB

Length

Max length	32
Median length	17
Mean length	17.342804
Min length	12

Characters and Unicode

Total characters	750163
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	43250 ?
Unique (%)	> 99.9%

Sample

1st row	312.49408867943663
2nd row	284.62916249607184
3rd row	331.2098628537912
4th row	223.45130972736786
5th row	341.48923103222177

Value	Count	Frequency (%)
333333333333333333333333333	5	< 0.1%
358.12416760938714	1	< 0.1%
810.7821526659284	1	< 0.1%
705.931285531244	1	< 0.1%
426.5134106068658	1	< 0.1%
331.2098628537912	1	< 0.1%
223.45130972736786	1	< 0.1%
341.48923103222177	1	< 0.1%
340.4792117872438	1	< 0.1%
244.5653167062043	1	< 0.1%
Other values (43241)	43241	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
3	79359	10.6%
2	79022	10.5%
4	73932	9.9%
6	70688	9.4%
5	70672	9.4%
7	68818	9.2%
1	68768	9.2%
8	67893	9.1%
9	65116	8.7%
0	62620	8.3%
Other values (3)	43275	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	750163	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	79359	10.6%
2	79022	10.5%
4	73932	9.9%
6	70688	9.4%
5	70672	9.4%
7	68818	9.2%
1	68768	9.2%
8	67893	9.1%
9	65116	8.7%
0	62620	8.3%
Other values (3)	43275	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	750163	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	79359	10.6%
2	79022	10.5%
4	73932	9.9%
6	70688	9.4%
5	70672	9.4%
7	68818	9.2%
1	68768	9.2%
8	67893	9.1%
9	65116	8.7%
0	62620	8.3%
Other values (3)	43275	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	750163	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	79359	10.6%
2	79022	10.5%
4	73932	9.9%
6	70688	9.4%
5	70672	9.4%
7	68818	9.2%
1	68768	9.2%
8	67893	9.1%
9	65116	8.7%
0	62620	8.3%
Other values (3)	43275	5.8%

Credit_Score
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	342.5 KiB

Standard	23017
Poor	12939
Good	7861

Length

Max length	8
Median length	8
Mean length	6.1011936
Min length	4

Characters and Unicode

Total characters	267336
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	23017	52.5%
Poor	12939	29.5%
Good	7861	17.9%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	23017	52.5%
poor	12939	29.5%
good	7861	17.9%

Most occurring characters

Value	Count	Frequency (%)
d	53895	20.2%
a	46034	17.2%
o	41600	15.6%
r	35956	13.4%
S	23017	8.6%
t	23017	8.6%
n	23017	8.6%
P	12939	4.8%
G	7861	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	267336	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
d	53895	20.2%
a	46034	17.2%
o	41600	15.6%
r	35956	13.4%
S	23017	8.6%
t	23017	8.6%
n	23017	8.6%
P	12939	4.8%
G	7861	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	267336	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
d	53895	20.2%
a	46034	17.2%
o	41600	15.6%
r	35956	13.4%
S	23017	8.6%
t	23017	8.6%
n	23017	8.6%
P	12939	4.8%
G	7861	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	267336	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
d	53895	20.2%
a	46034	17.2%
o	41600	15.6%
r	35956	13.4%
S	23017	8.6%
t	23017	8.6%
n	23017	8.6%
P	12939	4.8%
G	7861	2.9%

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
0	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	11.27	4.0	_	809.98	26.822620	22 Years and 1 Months	No	49.574949	80.41529543900253	High_spent_Small_value_payments	312.49408867943663	Good
1	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	-1	NaN	11.27	4.0	Good	809.98	31.944960	NaN	No	49.574949	118.28022162236736	Low_spent_Large_value_payments	284.62916249607184	Good
2	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7	_	4.0	Good	809.98	28.609352	22 Years and 3 Months	No	49.574949	81.699521264648	Low_spent_Medium_value_payments	331.2098628537912	Good
3	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	5	4	6.27	4.0	Good	809.98	31.377862	22 Years and 4 Months	No	49.574949	199.4580743910713	Low_spent_Small_value_payments	223.45130972736786	Good
4	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	6	NaN	11.27	4.0	Good	809.98	24.797347	22 Years and 5 Months	No	49.574949	41.420153086217326	High_spent_Medium_value_payments	341.48923103222177	Good
5	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	8	4	9.27	4.0	Good	809.98	27.262259	22 Years and 6 Months	No	49.574949	62.430172331195294	!@9#%8	340.4792117872438	Good
6	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	8_	11.27	4.0	Good	809.98	22.537593	22 Years and 7 Months	No	49.574949	178.3440674122349	Low_spent_Small_value_payments	244.5653167062043	Good
7	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	6	11.27	4.0	Good	809.98	23.933795	NaN	No	49.574949	24.785216509052056	High_spent_Medium_value_payments	358.12416760938714	Standard
8	_______	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	4	5.42	2.0	Good	605.03	24.464031	26 Years and 7 Months	No	18.816215	104.291825168246	Low_spent_Small_value_payments	470.69062692529184	Standard
9	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	7	1	7.42	2.0	Good	605.03	38.550848	26 Years and 8 Months	No	18.816215	40.39123782853101	High_spent_Large_value_payments	484.5912142650067	Good

	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	Num_of_Loan	Type_of_Loan	Delay_from_due_date	Num_of_Delayed_Payment	Changed_Credit_Limit	Num_Credit_Inquiries	Credit_Mix	Outstanding_Debt	Credit_Utilization_Ratio	Credit_History_Age	Payment_of_Min_Amount	Total_EMI_per_month	Amount_invested_monthly	Payment_Behaviour	Monthly_Balance	Credit_Score
43808	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	26	NaN	4.42	10.0	Bad	2578.2	36.308186	11 Years and 4 Months	Yes	103.131085	43.50561885424431	Low_spent_Medium_value_payments	295.0436293522199	Poor
43809	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	23	22	4.42	10.0	_	2578.2	36.811786	11 Years and 5 Months	Yes	103.131085	NaN	Low_spent_Small_value_payments	154.09231580292825	Poor
43810	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	25	22	4.42	10.0	Bad	2578.2	33.096312	11 Years and 6 Months	Yes	103.131085	29.896436674912525	High_spent_Large_value_payments	268.6528115315517	Poor
43811	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	26	22	10.42	10.0	Bad	2578.2	32.485742	11 Years and 7 Months	NM	103.131085	57.72549621138061	Low_spent_Medium_value_payments	280.82375199508357	Poor
43812	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	26	22	4.42	10.0	Bad	2578.2	25.928211	11 Years and 8 Months	Yes	103.131085	180.59658622727363	Low_spent_Small_value_payments	167.95266197919057	Standard
43813	Media_Manager	20889.64	1616.803333	10	10	22	6_	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	30	22	4.42	13.0	_	2578.2	33.499578	11 Years and 9 Months	Yes	103.131085	139.30282132784546	Low_spent_Medium_value_payments	199.24642687861873	Poor
43814	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	26	22	-2.58	13.0	Bad	2578.2	35.752695	11 Years and 10 Months	Yes	103.131085	77.30809056548823	Low_spent_Small_value_payments	271.241157640976	Poor
43815	Media_Manager	20889.64	1616.803333	10	10	22	6	Credit-Builder Loan, Debt Consolidation Loan, Not Specified, Credit-Builder Loan, Credit-Builder Loan, and Home Equity Loan	22	NaN	4.42	13.0	_	2578.2	35.372953	11 Years and 11 Months	Yes	103.131085	108.19339878469236	High_spent_Small_value_payments	210.35584942177186	Poor
43816	Journalist	13315.2	1307.600000	8	5	16	0	NaN	10	12_	14.84	2.0	Standard	1233.74	38.299792	17 Years and 8 Months	No	0.000000	23.81356273732316	High_spent_Large_value_payments	346.94643726267685	Standard
43817	Journalist	13315.2_	NaN	8	5	16	0	NaN	11	14	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category